KR101863632B1 - Server for processing sensor value, and control method thereof - Google Patents

Server for processing sensor value, and control method thereof Download PDF

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KR101863632B1
KR101863632B1 KR1020170180209A KR20170180209A KR101863632B1 KR 101863632 B1 KR101863632 B1 KR 101863632B1 KR 1020170180209 A KR1020170180209 A KR 1020170180209A KR 20170180209 A KR20170180209 A KR 20170180209A KR 101863632 B1 KR101863632 B1 KR 101863632B1
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South Korea
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sensor
value
deviation
correction value
time point
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KR1020170180209A
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Korean (ko)
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김태홍
이용
최남식
채영훈
정한민
성원경
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한국과학기술정보연구원
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D1/00—Measuring arrangements giving results other than momentary value of variable, of general application
    • G01D1/02—Measuring arrangements giving results other than momentary value of variable, of general application giving mean values, e.g. root means square values
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D1/00—Measuring arrangements giving results other than momentary value of variable, of general application
    • G01D1/12—Measuring arrangements giving results other than momentary value of variable, of general application giving a maximum or minimum of a value
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D18/00—Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
    • G01D18/002—Automatic recalibration
    • G01D18/006—Intermittent recalibration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass

Abstract

The present invention is based on a multi-sensor based on the same property measured in the same property for each sensor value is reflected in the deviation between the sensor values to compensate for the corrected sensor value to ensure reliability, accuracy and stability of the sensor value processing Server and a method of operating the same.

Figure R1020170180209

Description

TECHNICAL FIELD [0001] The present invention relates to a sensor value processing server and a sensor value processing server,

The present invention relates to a method for ensuring reliability, accuracy, and stability of a sensor value corrected by applying a correction reflecting a deviation between sensor values for each sensor value that measures the same property in the same environment based on multiple sensors .

In recent years, the method of collecting and analyzing a large number of sensor values measured in the same environment based on multiple sensors based on various fields throughout the society has made it possible to obtain stability, reliability, and accuracy of measurement results or sensor value analysis results It is a tendency to plan.

Especially, in the field of air quality management to actively and efficiently cope with sudden environmental changes such as global warming, for example, such a multi-sensor system is adopted as a representative field.

Here, the term "air quality" refers to the diffusion concentration of air pollutants such as gas and fine dust which are harmful to the human body, and is used as an important atmospheric environment index that affects human health.

In this regard, methods for monitoring air quality conditions include sensor based sensor measurement devices for measuring atmospheric properties (eg PM 10 , PM 2.5 , SO 2 , CO, NO 2 , O 3 , VOC, It is common to follow a method of collecting sensor values measured by a sensor measuring device at a remote site and analyzing the collected sensor values.

However, in the case of the method of analyzing the sensor value measured by the sensor measuring device at the remote place, the reliability, stability and accuracy of the collected sensor value should be assured. Otherwise, the analysis of the accurate air quality state is essential It is difficult to achieve the goal.

The present invention has been made in view of the above circumstances, and it is an object to be achieved by the present invention to provide a method and apparatus for correcting a difference between sensor values for each sensor value that measures the same property in the same environment based on multiple sensors, And to ensure the reliability, accuracy and stability of the calibrated sensor values.

According to an aspect of the present invention, there is provided a sensor value processing server comprising: a collecting unit for collecting at least two sensor values each of which has the same property measured at a specific point in time; A calculation unit for calculating a sensor symmetry ratio indicating a degree of deviation in accordance with a deviation between the at least two sensor values; And applying importance weighting values based on the deviation between the sensor symmetry ratio and a median value of the two or more sensor values of each sensor value for each of the two or more sensor values, And a calculation unit for calculating a sensor correction value measured at the specific point in time by the sensor.

Specifically, the sensor value processing server may further include a processing unit for processing a correction on the sensor correction value at the specific time point according to a result of comparison between the specific time point and a neighboring previous time point, to generate a final sensor correction value have.

Specifically, when the amount of change, which is the difference between the last sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, is greater than or equal to a threshold value, the processing unit may process correction for the sensor correction value at the specific time point have.

Specifically, the deviation between the two or more sensor values is determined by a difference between a difference between the average value and the maximum value based on the average value, the maximum value, and the minimum value with respect to the two or more sensor values and a difference between the average value and the minimum value And the sensor symmetry rate may be calculated according to the ratio of the second deviation value to the first deviation value.

Specifically, the sensor symmetry ratio may be calculated based on a ratio of the second deviation value to the first deviation value so that the sensor symmetry ratio can be maintained at a value within a specific range regardless of the number of sensors to be collected. A normalization process based on the number of sensors with respect to the value may be performed.

Specifically, the processing unit calculates the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time, and the variation weight value according to the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time The final sensor correction value at the specific time point can be generated by adding the correction value to the last sensor correction value at the previous time point.

According to an aspect of the present invention, there is provided a method of operating a sensor value processing server, the method comprising: a collecting step of collecting two or more sensor values each of which measures the same property at a specific point in time; A calculation step of calculating a sensor symmetry ratio indicating a degree of deviation in accordance with the deviation between the two or more sensor values; And applying importance weighting values based on the deviation between the sensor symmetry ratio and a median value of the two or more sensor values of each sensor value for each of the two or more sensor values, And a calculation step of calculating a sensor correction value measured at the specific point in time by the sensor.

Specifically, the method may further include a processing step of processing a correction for the sensor correction value at the specific point in time according to a result of comparison between the specific point in time and a neighboring point in time to generate a final sensor correction value.

Specifically, when the amount of change, which is the difference between the last sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, is greater than or equal to a threshold value, the processing step corrects the sensor correction value at the specific time point .

Specifically, the deviation between the two or more sensor values is determined by a difference between a difference between the average value and the maximum value based on the average value, the maximum value, and the minimum value with respect to the two or more sensor values and a difference between the average value and the minimum value And the sensor symmetry rate may be calculated according to the ratio of the second deviation value to the first deviation value.

Specifically, the sensor symmetry ratio may be calculated based on a ratio of the second deviation value to the first deviation value so that the sensor symmetry ratio can be maintained at a value within a specific range regardless of the number of sensors to be collected. A normalization process based on the number of sensors with respect to the value may be performed.

Specifically, the processing step calculates the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time, and the variation weight value according to the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time The final sensor correction value at the specific time point can be generated by adding the correction value to the final sensor correction value at the previous time point.

Therefore, in the sensor value processing server and the operation method thereof according to the present invention, by performing the correction reflecting the deviation between the sensor values with respect to the sensor value in which the plurality of sensors measure the same property in the same measurement environment (position, time) The reliability, accuracy and stability of the calibrated sensor value can be guaranteed.

1 is a schematic diagram for explaining a sensor value monitoring environment according to an embodiment of the present invention;
2 is a block diagram illustrating a configuration of a sensor value processing server according to an embodiment of the present invention;
3 is an exemplary view for explaining a sensor value correction method using a conventional average value.
4 is a diagram for explaining a sensor value correction method using a conventional median value.
FIG. 5 is an exemplary view for explaining a sensor symmetry ratio according to an embodiment of the present invention; FIG.
FIG. 6 is an exemplary diagram for explaining a result of applying importance weighting according to an embodiment of the present invention; FIG.
FIG. 7 is an exemplary diagram for explaining the amount of change according to an embodiment of the present invention; FIG.
8 is a flowchart illustrating a method of operating a sensor value processing server according to an embodiment of the present invention.
9 and 10 are diagrams for explaining an effect of a correction method (weight-based correction method) according to an embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

In the meantime, the following description is based on the assumption that a method of collecting and analyzing a plurality of sensor values measured in the same environment based on multiple sensors is premised, and the field to which such a multiple sensor method is applied is not limited to a specific field. Of course.

Hereinafter, for the sake of convenience, the following description will be made with reference to an example of analyzing the state of air quality by measuring and collecting atmospheric properties through a multi-sensor system in which the above multi-sensor system is applied.

FIG. 1 shows a sensor value monitoring environment according to an embodiment of the present invention.

As shown in FIG. 1, the sensor value monitoring environment according to an embodiment of the present invention includes a plurality of sensor measurement devices 10 for measuring the atmospheric property, and a sensor value measurement device And a sensor value processing server 20 for monitoring the air quality state.

The sensor measuring instrument 10 refers to a device for measuring at least one of atmospheric properties such as PM 10 , PM 2.5 , SO 2 , CO, NO 2 , O 3 , VOC, The sensor value measuring the waiting attribute can be transmitted to the sensor value processing server 20 through the wired / wireless network.

The sensor measuring instrument 10 can be divided into a moving type and a fixed type according to whether the sensor is to be moved or not.

Here, the portable type refers to a method of being mounted on a public transportation means (for example, a cab of a taxi) according to a region (e.g., city, province or group). In this case, And transmit the measured sensor value to the sensor value processing server 20 through a commercial mobile communication network (e.g., LTE).

Specifically, the sensor measuring instrument 10 transmits a sensor value, which measures a waiting attribute, to a central terminal (for example, navigation) provided in the public transportation means, for example, in a serial manner, (E.g., LTE) to the sensor value processing server 20 through a commercial mobile communication network (e.g., LTE).

Here, it is a matter of course that the sensor value may include the positional information and the viewpoint information on which the wait attribute is measured.

For reference, in the embodiment of the present invention, the use of the sensor measuring device 10 in a mobile manner occurs when a sensor measuring device (stationary type) is installed at a closely spaced interval in each region This can be understood as solving the problems of cost and time consuming that can be achieved.

In contrast, in the case of the fixed type, unlike the above-mentioned moving type, the sensor measuring device 10 is positioned at a fixed position in the room. In this case, the sensor value measuring the waiting property is referred to as Internet of Things, IoT) network to the sensor value processing server 20.

Here, LoRa (Long Range), which is a kind of Internet technology for objects, which supports low-speed transmission (<1 kbps) and low power, can be utilized for the object Internet network.

The sensor value processing server 20 refers to an operation server for checking the sensor value collected from the sensor measuring instrument 10 to confirm the state of the air quality.

The sensor value processing server 20 may be implemented, for example, in the form of a web server, a database server, a proxy server, or the like. The sensor value processing server 20 may be implemented by a network load balancing mechanism, May be installed, and may be implemented as a computerized system. The network may also be an http network and may be a private line, an intranet, or any other network, and the connection between each configuration in the system according to an embodiment of the present invention may be such that the data is routed to any hacker And may be connected to a secure network so as not to be attacked by other third parties.

Meanwhile, the sensor value processing server 20 may follow a pull method of requesting the sensor measurement device 10 for a sensor value in order to collect the sensor value from the sensor measurement device 10, It is also possible to apply a push method in which the sensor measuring device 10 itself transmits the measured sensor value separately from the request from the sensor value processing server 20,

As described above, in the sensor value monitoring environment according to the embodiment of the present invention, based on the above-described configuration, the reliability of the sensor value, the accuracy of the sensor value, Stability of the sensor value processing server 20 will be described below. Hereinafter, the configuration of the sensor value processing server 20 for realizing this will be described in more detail.

For reference, the reliability here indicates the degree to which the sensor value outputs a low frequency, the accuracy indicates the degree of difference from the value measured by the precision sensor, and the stability means that, when measured in the same environment, This indicates the degree to which the values are output identically.

FIG. 2 shows a configuration of a sensor value processing server 20 according to an embodiment of the present invention.

As shown in FIG. 2, the sensor value processing server 20 according to an embodiment of the present invention includes a collecting unit 21 for collecting sensor values; A calculation section 22 for calculating a sensor symmetry ratio, a calculation section 23 for calculating a sensor correction value, and a processing section 24 for generating a final sensor correction value.

All or at least a part of the sensor value processing server 20 including the collecting unit 21, the calculating unit 22, the calculating unit 23 and the processing unit 24 may be implemented in the form of a hardware module or a software module Or a combination of a hardware module and a software module.

Here, the software module can be understood as, for example, a command executed by a processor that controls an operation in the sensor value processing server 20, and the command is stored in a memory in the sensor value processing server 20 .

The sensor value processing server 20 according to an exemplary embodiment of the present invention may further include a configuration of the communication unit 25 as an RF module that performs a practical communication function with the sensor measurement device 10, have.

Here, the communication unit 25 includes, but is not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chipset, But may include all known circuits to perform.

As a result, the sensor value processing server 20 according to the embodiment of the present invention ensures reliability, accuracy, and stability of the sensor value through the correction that reflects the deviation between the sensor values, Hereinafter, each configuration in the sensor value processing server 20 for realizing this will be described in more detail.

The collecting unit 21 collects two or more sensor values based on multiple sensors.

More specifically, the collecting unit 21 collects two or more sensor values, each of which has the same property measured at a specific point in time.

Here, each of the plurality of sensors means each of the plurality of sensor measuring instruments 10, or if there are a plurality of sensors capable of measuring the same waiting attributes in the sensor measuring instrument 10, It is to be understood that the present invention is not limited thereto.

The calculation unit 21 calculates a sensor symmetry ratio for correcting the sensor value.

More specifically, when two or more sensor values are collected from a plurality of sensors, the calculation unit 21 calculates a sensor symmetry ratio for correcting the collected sensor values.

In general, in a multi-sensor environment adopted in an embodiment of the present invention, since a value can be guaranteed even if an error occurs in one sensor, a certain degree of reliability and stability with respect to the sensor value can be assured .

As an existing method for correcting the sensor value, there is a method of using the average value of the sensor values collected as shown in FIG. 3 and a method of using the median value of the collected sensor values as shown in FIG. 4 do.

However, if the representative value of the received sensor value is determined through the method of using the average value (when the sensor value is corrected), since the malfunction result of the specific sensor in which the error occurred can be reflected, an inaccurate representative value can be determined have.

For example, assuming that sensor values of [31, 30, 5] are collected from three temperature sensors, the average value at this time is significantly different from 31 ° and 30 °, Can be confirmed.

In addition, when a representative value of the received sensor value is determined using the median value, there is a limit that the sensor value of the remaining sensor that operates normally can not be reflected.

For example, assuming that sensor values of [31, 31, 29, 29, 5] are collected from five temperature sensors, the median value is 29 degrees, For example, it can be confirmed that 31 degrees is not reflected.

5, the calculation unit 22 calculates the deviation between the sensor values obtained first and the sensor values of the remaining two sensor values, for example, And the sensor symmetry ratio indicating the state in which they are separated from each other.

Here, the sensor symmetry ratio can be interpreted to the extent that the collected sensor values coincide with each other.

At this time, the calculation unit 22 obtains an average value, a maximum value, and a minimum value of two or more sensor values collected from the plurality of sensors, and calculates a difference between the average value and the minimum value The ratio of the second deviation value corresponding to the difference is calculated as the sensor symmetry ratio.

Such a method of calculating the sensor symmetry rate can be defined, for example, as in the following [Expression 1].

[Equation 1]

Figure 112017129391377-pat00001

Where avg t is the average value, Max (val t []) is the maximum value, and Max (val t []) is the minimum value.

For example, assuming that sensor values of [31, 30, 29, 28, 5] are collected from five sensors, the average value is 24.6, the maximum value is 31 and the minimum value is 5, ] Can be calculated as 3.0625.

On the other hand, if all the sensor values are the same, the denominator becomes 0. Therefore, when the maximum value and the minimum value are 1, the sensor symmetry rate is set to 1 according to the above formula (1).

Further, the calculation unit 22 calculates the ratio of the second deviation value to the first deviation value so that the sensor value can be maintained within a specific range (0 to 1) irrespective of the number of sensors to be collected. The normalization process based on the number of sensors is performed.

This normalization process can be defined as, for example, the following equation (2).

[Equation 2]

Figure 112017129391377-pat00002

Here, n denotes the number of sensors for which the sensor value is collected.

For example, assuming that sensor values of [31, 30, 29, 28, 5] are collected from five sensors, the normalization processing result on the sensor symmetry ratio becomes 0.10204082 according to the above formula If the sensor values of [31, 30, 29, 28, 27] are collected from the sensor, the normalization processing result on the sensor symmetry rate becomes 1 according to the above formula (2).

The calculating unit 23 performs a function of generating a sensor correction value by applying an importance weight to each of the collected sensor values.

More specifically, when the sensor symmetry ratio for two or more sensor values measured in each of the plurality of sensors is calculated, the calculating unit 23 applies the importance weight to each of the two or more sensor values, and based on the result of applying the importance weight And a sensor correction value (representative value) measured at a specific point in time by a plurality of sensors is calculated.

At this time, the importance weight can be calculated by using the deviation between the sensor symmetry ratio and the median value of each sensor value for each of the two or more sensor values as shown in [Equation 3] and [Equation 4] below.

[Equation 3]

Figure 112017129391377-pat00003

Here, data t [i] is the i-th sensor value and MEDIAN (data t []) is the median value.

[Equation 4]

Figure 112017129391377-pat00004

Here, weight t means importance weight.

Also, a method of calculating the sensor correction value (representative value) measured at a specific point in time by a plurality of sensors using the result of applying the importance weight can be defined, for example, as in the following [Expression 5].

[Equation 5]

Figure 112017129391377-pat00005

As a result, the calculating unit 23 lowers the importance of the sensor value having a large deviation due to the error through the method of applying the importance weighting to each of the two or more sensor values collected from each of the plurality of sensors. On the contrary, The reliability of the calculated correction value (representative value) can be improved by increasing the importance of the value, and the result can be confirmed by an exemplary method in FIG.

The processing unit 24 performs a function of generating a final sensor correction value obtained by correcting the sensor correction value based on the variation amount of the sensor correction value.

More specifically, when the sensor correction value (representative value) is calculated according to two or more sensor values collected at a specific point in time, the processing unit 24 compares the calculated sensor correction value with the previous point in time, , The correction for the sensor correction value at the specific time point is processed to generate the final sensor correction value.

In this regard, when the importance weight based on the sensor symmetry ratio is applied to each of the two or more sensor values collected according to the embodiment of the present invention, as shown in FIG. 7, The drift phenomenon can be a factor that lowers the stability of the sensor correction value (representative value).

When the variation of the sensor correction value at the specific time point and the final sensor correction value at the previous time point neighboring the specific point of time is greater than or equal to the threshold value, the processing unit 24 corrects the correction value The sensor correction value (representative value) is prevented from being abruptly changed due to the short-term error of the sensor.

Specifically, when the amount of change, which is the difference between the final sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, is greater than or equal to the threshold value, the processing unit 24 updates the sensor correction value at the specific time point, And a correction value calculated on the basis of a difference weight between the sensor correction value at the specific time and the sensor correction value at the previous time is added to the final sensor correction value at the previous time, A correction value can be generated.

This final sensor correction value generation method can be defined, for example, as in the following [Expression 6] to [Expression 8].

[Equation 6]

Figure 112017129391377-pat00006

Here, variation t represents a change amount, sc t represents a sensor correction value (representative value) at a specific point in time, and vc t -1 represents a final sensor correction value at a previous point in time.

[Equation 7]

Figure 112017129391377-pat00007

Here, the weight t means a variation weight, and sc t -1 denotes a sensor correction value at a previous time point.

[Equation 8]

Figure 112017129391377-pat00008

Here, vc t denotes a final sensor correction value at a specific point in time.

Hereinafter, the operation of the sensor value processing server 20 will be described with reference to FIG. 8. FIG. 8 is a flowchart illustrating the operation of the sensor value processing server 20 according to an embodiment of the present invention.

8 is a flowchart for explaining a method of operating the sensor value processing server 20 according to an embodiment of the present invention.

First, the collecting unit 21 collects two or more sensor values, each of which has measured the same property at a specific point in time (S10).

Here, each of the plurality of sensors means each of the plurality of sensor measuring instruments 10, or if there are a plurality of sensors capable of measuring the same waiting attributes in the sensor measuring instrument 10, It is to be understood that the present invention is not limited thereto.

Then, when two or more sensor values are collected from the plurality of sensors, the calculation unit 21 calculates a sensor symmetry ratio for correcting the collected sensor values (S20).

At this time, the calculation unit 22 calculates a sensor symmetry ratio indicating a deviation between the collected sensor values, for example, as shown in FIG. 5, in which one sensor value and the remaining two sensor values are separated from each other.

Here, the sensor symmetry ratio can be interpreted to the extent that the collected sensor values coincide with each other.

At this time, the calculation unit 22 obtains an average value, a maximum value, and a minimum value of two or more sensor values collected from the plurality of sensors, and calculates a difference between the average value and the minimum value The ratio of the second deviation value corresponding to the difference can be calculated as the sensor symmetry ratio.

For example, assuming that sensor values of [31, 30, 29, 28, 5] are collected from five sensors, the average value is 24.6, the maximum value is 31, and the minimum value is 5, ] Can be calculated as 3.0625.

On the other hand, if all the sensor values are the same, the denominator becomes 0. Therefore, when the maximum value and the minimum value are 1, the sensor symmetry rate can be set to 1 according to the above-mentioned [Expression 1].

Further, the calculation unit 22 calculates the ratio of the second deviation value to the first deviation value so that the sensor value can be maintained within a specific range (0 to 1) irrespective of the number of sensors to be collected. The normalization process based on the number of sensors is performed.

For example, assuming that sensor values of [31, 30, 29, 28, 5] are collected from five sensors, the normalization processing result on the sensor symmetry ratio becomes 0.10204082 according to the above formula If sensor values of [31, 30, 29, 28, 27] are collected from the sensor, the normalization processing result on the sensor symmetry rate is also 1 according to the above-mentioned [Expression 2].

Then, when the sensor symmetry ratio for two or more sensor values measured at each of the plurality of sensors is calculated, the calculating unit 23 applies the importance weight to each of the two or more sensor values, and based on the result of applying the importance weight, A sensor correction value (representative value) measured at a specific point in time is calculated (S30).

In other words, the calculating unit 23 lowers the importance of the sensor value having a large deviation due to the error through the method of applying the importance weight to each of the two or more sensor values collected from each of the plurality of sensors. On the contrary, The reliability of the calculated correction value (representative value) can be improved by increasing the importance of the values.

Thereafter, when the sensor correction value (representative value) is calculated according to two or more sensor values collected at a specific point in time, the processing unit 24 compares the calculated sensor correction value with the previous point of time, and when the change amount is greater than or equal to the threshold value, The correction for the sensor correction value at the specific time is processed to generate the final sensor correction value (S40-S60).

In this regard, when the importance weight based on the sensor symmetry ratio is applied to each of the two or more sensor values collected according to the embodiment of the present invention, as shown in FIG. 5, This drift phenomenon can be a factor that lowers the stability of the sensor correction value (representative value).

When the variation of the sensor correction value at the specific time point and the final sensor correction value at the previous time point neighboring the specific point of time is greater than or equal to the threshold value, the processing unit 24 corrects the correction value The sensor correction value (representative value) is prevented from being abruptly changed due to the short-term error of the sensor corresponding to the specific time point.

Specifically, when the amount of change, which is the difference between the final sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, is greater than or equal to the threshold value, the processing unit 24 updates the sensor correction value at the specific time point, And a correction value calculated on the basis of a difference weight between the sensor correction value at the specific time and the sensor correction value at the previous time is added to the final sensor correction value at the previous time, A correction value can be generated.

As described above, according to the configuration and the operation method of the sensor value processing server 20 of the present invention, it is possible to provide a sensor value processing server 20 that has a plurality of sensors, Value is corrected to reflect the deviation between the sensor values, it can be understood that reliability, accuracy and stability of the sensor value can be ensured.

9 and 10 illustrate a case in which a sensor value correction method (weight-based correction) according to an embodiment of the present invention is followed, and a case in which a conventional average value-based correction method and a median value- Comparing the results of calibration of each sensor value is shown.

Referring to FIG. 9, in the case of the mean-value-based correction, the correction result is lowered when one sensor deviates due to an error or the like, and in the case of the median-based correction, the sensor is not affected by one sensor. It is possible to obtain a stable result. On the other hand, in the case of the weight-based correction according to the embodiment of the present invention, it is confirmed that the deviation of the adjacent sensor can be minimized by correcting the deviation.

Referring to FIG. 10, it is difficult to detect a temporary error of the sensor in the case of an average value and a median-based correction, while in the weight-based correction according to an embodiment of the present invention, a sudden sensor change is detected, It is possible to confirm that it is possible to cope with.

Meanwhile, the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, or may be embodied in a computer readable medium, in the form of a program instruction, which may be carried out through various computer means. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

According to the sensor value processing server and the method of operating the same according to the present invention, it is possible to perform the correction based on the deviation between the sensor values for each sensor value that measures the same property in the same environment based on multiple sensors, And accuracy and stability of the technology. Therefore, it is not only the use of the related technology but also the possibility of the market or operation of the applicable device is sufficient, It is an invention that can be used for commercial use.

10: Sensor measuring instrument
20: sensor value processing server
21: collecting section 22: calculating section
23: Calculator 24:

Claims (13)

A collection unit for collecting at least two sensor values each of which has the same property measured at a specific point in time;
A calculation unit for calculating a sensor symmetry ratio indicating a degree of deviation in accordance with a deviation between the at least two sensor values; And
Applying a significance weight based on a deviation between the sensor symmetry ratio and a median value of the two or more sensor values of each sensor value for each of the two or more sensor values, And a calculation unit for calculating a sensor correction value measured at the specific point in time. The method according to claim 1,
The sensor value processing server comprises:
Further comprising a processing unit for processing the correction of the sensor correction value at the specific time point according to a result of comparison between the specific time point and a neighboring previous time point to generate a final sensor correction value. 3. The method of claim 2,
Wherein,
Wherein the sensor value correcting unit processes the correction of the sensor correction value at the specific point in time when the amount of change, which is the difference between the last sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, . The method according to claim 1,
The deviation between the two or more sensor values
A first deviation value that is a difference between the average value and the maximum value based on the average value, the maximum value, and the minimum value of the two or more sensor values; and a second deviation value that is a difference between the average value and the minimum value,
The sensor symmetry ratio,
And the second deviation value is calculated based on a ratio of the second deviation value to the first deviation value. 5. The method of claim 4,
The sensor symmetry ratio,
The number of sensors is calculated based on the calculated value according to the ratio of the second deviation value to the first deviation value so that the sensor value can be maintained at a value within a specific range irrespective of the number of sensors to be collected. Wherein the normalization processing is performed on the sensor value processing server. The method of claim 3,
Wherein,
A correction value calculated on the basis of the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time and the sensor correction value at the specific time point and the sensor correction value difference at the previous time, And adds the final sensor correction value to the final sensor correction value to generate a final sensor correction value at the specific time point. A collection step of collecting two or more sensor values each of which has measured the same property at a specific point in time;
A calculation step of calculating a sensor symmetry ratio indicating a degree of deviation in accordance with the deviation between the two or more sensor values; And
Applying a significance weight based on a deviation between the sensor symmetry ratio and a median value of the two or more sensor values of each sensor value for each of the two or more sensor values, And calculating a sensor correction value measured at the specific point in time. 8. The method of claim 7,
The method comprises:
Further comprising a processing step of processing a correction for the sensor correction value at the specific time point according to a result of comparison between the specific time point and a neighboring previous time point to generate a final sensor correction value Way. 9. The method of claim 8,
Wherein the processing step comprises:
Wherein the sensor value correcting unit processes the correction of the sensor correction value at the specific point in time when the amount of change, which is the difference between the last sensor correction value corrected at the previous time point and the sensor correction value at the specific time point, Lt; / RTI &gt; 8. The method of claim 7,
The deviation between the two or more sensor values
A first deviation value that is a difference between the average value and the maximum value based on the average value, the maximum value, and the minimum value of the two or more sensor values; and a second deviation value that is a difference between the average value and the minimum value,
The sensor symmetry ratio,
Wherein the first deviation value is calculated based on a ratio of the second deviation value to the first deviation value. 11. The method of claim 10,
The sensor symmetry ratio,
The number of sensors is calculated based on the calculated value according to the ratio of the second deviation value to the first deviation value so that the sensor value can be maintained at a value within a specific range irrespective of the number of sensors to be collected. Wherein the normalization process is performed on the basis of the normalization process. 10. The method of claim 9,
Wherein the processing step comprises:
A correction value calculated on the basis of the difference between the sensor correction value at the specific time point and the sensor correction value at the previous time and the sensor correction value at the specific time point and the sensor correction value difference at the previous time, And adding the final sensor correction value to the final sensor correction value to generate a final sensor correction value at the specific time point. A computer-readable medium having recorded thereon a program for executing each step of the method according to any one of claims 7 to 12.
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